The activities of modern enterprises and organizations are becoming increasingly complex, which complicates decision-making tasks. In this regard, the issues related to the integration of innovative information technologies in the field of decision-making are being updated. One of these technologies is artificial intelligence, the main advantages of which are the ability to solve time-consuming tasks and perform analysis based on big data in real time. The purpose of the work is to analyze the methods of applying artificial intelligence technologies in the theory of decision-making. The paper considers the fundamental factors associated with the work of artificial intelligence, prospects and current trends in its development in solving decision-making problems. The scientific value of the article consists in an attempt to systematize knowledge regarding the use of intelligent technologies in decision-making theory. The materials of the article can be useful for modern software developers and the management of organizations.

Keywords: artificial intelligence, algorithm, data analysis, decision-making, model, information technology

The article discusses the issues related to the solution of an actual problem – the recycling of accumulations of plastic waste in the ocean. It is proposed to organize the plastic recycling process directly in the ocean on recycling vessels. At the same time, the products of mechanical processing and pyrolysis can be used to support the construction, road construction, and electric power industries of coastal developing countries in Africa and Latin America, near which the largest amount of plastic waste is concentrated. It is proposed to use both systems with artificial intelligence trained to recognize and identify plastic by shape, and systems based on spectral analysis of the composition of plastic for sorting and identification.

Keywords: plastic waste, microplastics, plastic recycling in the ocean, recycling vessel, plastic type recognition, use of recycled plastic

The focus is on the building construction technologies using 3D modular building blocks, which are capable of changing their geometric dimensions and shape or remaining unchanged during installation. The paper discusses the main advantages of using 3D modular building blocks for building construction and offers specific examples showing the related process flows. It also shows horizontal and vertical nodal joints and provides a comparison of two options based on certain criteria of installation adaptability.

Keywords: buildings, construction technology, installation and transport manufacturability, horizontal and vertical connections, technological processes

This article discusses the features of the use of neural network detectors in the tasks of recognizing protective helmets and helmets. Nowadays, workplace safety is becoming an increasingly relevant topic, especially in industries with a high level of injuries. There are accidents caused by violations of rules and regulations at work sites, among them cases related to non-compliance with the rules of wearing protective helmets. The article examines methods and algorithms for recognizing protective helmets and helmets, and assesses their effectiveness.

Keywords: convolutional neural network, object recognition, protective helmets. helmets, SSD, YOLOv5, Faster R-CNN, machine learning, deep learning, image classification

The article outlines modern trends in the formation of the architecture of concert halls based on the use of long-span structures in the structure of the facility. The parameters of concert halls, which are affected by the use of long-span structures, are considered. Examples of the implementation of the architecture of concert halls using long-span structures made of various materials are presented. Theoretical assumptions have been made about the division of long-span structures into two types according to the nature of their influence on acoustics.

Keywords: concert halls, long-span structures, acoustics, architecture, acoustic characteristics, halls, architectural and building structures

The article presents a comparative analysis of various types of long-span structures used in covering concert halls. Their influence on the acoustic characteristics of the concert hall box is considered. Examples of the implementation of the architecture of concert halls using long-span structures made of various materials are presented. Conclusions are drawn about the division of large-span structures into two functional groups according to the nature of their influence on acoustics with the corresponding option for space-planning solutions for concert halls.

Keywords: concert halls, long-span structures, acoustics, architecture, acoustic characteristics, halls, architectural and building structures

This article examines models of arithmetic devices for finite ring neural networks of the second and third orders. The arithmetic devices under study were synthesized on the basis of FPGA. Estimates of hardware costs and performance of computers for system modules of residual classes of different capacity were obtained. The structure of a finite ring neural network with dynamic connections is proposed, the efficiency of which in terms of hardware costs is observed with increasing capacity of the residue number system module. The advantage of a finite ring neural network with dynamic connections is established for modules with a capacity of 64 bits and higher.

Keywords: neural networks, residue number system, group of elliptic curve points, FPGA, multiplier, adder

This paper presents the concept of using fuzzy control methods in the construction of energy efficient systems based on photovoltaic modules. An analysis was made of methods to improve efficiency in the case of weather in Vietnam on a sunny summer day for photovoltaic modules. The results show that the efficiency of the proposed system is increased by 27.91%, 23.30% and 4.95% compared to the PV module, respectively, with a fixed tilt system, a water-cooled system, and a solar tracking system. The simulation results can serve as a prerequisite for future experimental models.

Keywords: Photovoltaic module, thermoelectric model, solar tracking, water cooling, efficiency, fuzzy logic

In the development of cloud providers, not only the types of services they provide play a significant role, but also fault tolerance to service failures. It is important for a cloud service provider to prepare and configure the server and service for fault-tolerant operation so that the customer works with a high degree of readiness and reliability in the system allocated to him. To prepare such a server, it is very important to think carefully about the architecture of the virtual machine, on which all the necessary means of data exchange and integration for the operation of the service will be installed, and protection against network threats that can disrupt the server's performance will be configured. The purpose of the work is to create a virtual machine architecture protected from network threats, which provides customers with access to the iTOP CMDB system. Despite the fact that there can be any number of customers, the iTOP CMDB system should be provided to each customer with its own version, which he can administer. The user can log in using an Internet browser by entering the name of his organization as a domain. The authors present a demonstration of the iTOP CMDB system, which is located on a virtual machine protected from network threats.

Keywords: virtual machine, architecture, firewall, iTOP CMDB system, server, network threat, network attack, IP address, firewall, request

The paper describes the composition of a wireless sensor network for agricultural purposes, including a sensor node, an actuator node and a coordinator node. Based on the IEEE 802.15.4 standard, a hybrid network architecture with node synchronization via a time slot mechanism is proposed. The WSN model is proposed, which includes the forming functions of nodes, which makes it possible to abandon the matrix of energy characteristics and describe the elements of the network in a simplified form.

Keywords: wireless sensor network, sensor node, coordinator node, network structure, wireless node architecture, wireless network parameters, network model

The production of nitrogen from air using membrane gas separation processes is widely used in many industries. The problem of controlling the gas separation process is associated with multi-loop control using control of several variables. To build a model of a gas separator, a detailed analysis of the gas separation process was carried out in this work. This article proposes a fuzzy logic controller used to match pressure fluctuations and air flow of a gas separator. The performance of the proposed controller was evaluated in comparison with traditional controllers. The proposed fuzzy logic controller makes it possible to increase the accuracy of the gas separation control system and reduce the duration of transient processes.

Keywords: fuzzy logic, controller, gas separation, membrane technology, nitrogen, control system

The article considers a method of automated formation of a training data set for machine learning algorithms for classification of electronic documents, which differs from the known ones by forming training data sets based on the synthesis of clustering and data augmentation methods based on calculating the distance between objects in multidimensional spaces.

Keywords: teaching with a teacher, clustering, pattern recognition, machine learning algorithm, electronic document, vectorization, formalized documents

The concept of a two-dimensional associative masking mechanism, introduced earlier and necessary for further consideration, is used to protect the data of cartographic scenes represented by point, linear and areal objects. The masking mechanism is the basis of associative steganography. In this case, the objects and coordinates of the scene are represented by code words in the alphabet of postal symbols and are masked with the further formation of stegocontainers. A set of masks is a secret key used further to recognize a scene represented in a protected form by a set of stegocontainers. The article deals with the organization of specialized DBMS for the protection of cartographic scene data with the introduction of two levels of such DBMS – server and client. Mono- and multicluster organization of request processing is offered for the server part of the DBMS. Practical recommendations on the use of mono- and multiclusters are given.

Keywords: associative steganography, masking, stegomessage, cartographic databases, parallel DBMS, mono- and multicluster, scene analysis, cryptography, stegostability, information security

In this article, an algorithm for processing hydroacoustic signals in the frequency domain using wavelets is considered. Arguments are given in favor of the similarity of the structure of hydroacoustic signals with the structure of vibration signals. The structure of hydroacoustic signals is described, while the relevance of wavelet analysis over analysis using Fourier transforms is emphasized. The algorithm can be applied to estimate the spectral density using the Fourier periodogram and estimate the energy in different frequency ranges. The method of hard threshold smoothing coefficients is presented and the advantages of this approach over a soft threshold are presented. A step-by-step algorithm for filtering the hydroacoustic signal is described. One of the applications of the algorithm is to estimate the parameters of the vibration signal using a parallel implementation of the algorithm.

Keywords: frequency domain, spectral density; wavelets; vibration signal processing

The paper proposes a hybrid method of packet routing in a wireless sensor network based on a genetic algorithm that allows you to build a routing table taking into account restrictions on the maximum number of transmissions through each node of the network and, as a result, increase its energy efficiency. The results of experimental studies on BSS with a random configuration of nodes in space are presented and it is shown that the congestion of data packet relay nodes is reduced by 30-40% with an increase in the total length of routes by 10%.

Keywords: wireless sensor network, sensor node, coordinator node, network structure, packet routing, energy efficiency of a wireless network, network model

The aim of the work is to increase the productivity of the iron ore concentrate dehydration process. In the course of previous research, an automated system with individual control of each vacuum filter technological parameters was developed. In this paper, it is proposed to supplement this system of an extreme step regulator hybrid intelligent control unit. A structural and functional scheme and an algorithm for the functioning of the control system have also been developed. The implementation of the developed control system will improve the productivity of the vacuum filter, reduce the wear of the actuators, reduce the specific consumption of energy resources used, and save the financial resources of the enterprise. The proposed control system can be adapted for a large class of technological units of a similar principle of operation used in various industries.

Keywords: iron ore concentrate dehydration, disk vacuum filter, artificial neural network, fuzzy neural network, automated control system, individual regulation, extreme regulator, vacuum, pulp density, vacuum filter productivity sludge moisture

The article is devoted to applied issues of improving regional security management processes through the development of methods for analyzing data on emergency situations. In order to identify patterns in the occurrence of emergency situations, multidimensional methods of processing statistical data were used. A multidimensional classification of data in the field of emergency situations based on fuzzy logic is proposed. The classification was performed using a fuzzy inference system with clear membership functions. As statistical data, data on emergency situations of a man-made, natural and biological-social nature that occurred in the federal districts of Russia in 2020, including data on dead and saved people, were considered. An analysis of data samples on regional emergency situations was carried out according to 5 criteria, and clustering of regions was carried out.

Keywords: emergency situations, fuzzy multidimensional clustering, fuzzy logic, fuzzy inference system, computer program, mathematical model, forecasting, decision making

Currently, tracing the movements of various objects (in particular a person) occupies a central place in video surveillance and video analytics systems. It is a system for tracking people's movements by localizing their positions on each frame within the entire video stream and is the basis of many intellectual computer vision systems. The purpose of this article is to develop a new algorithm for tracing human movements in a video stream with the possibility of selecting motion trajectories. The main stages of the algorithm include: dividing the video into frames with a difference of one second, selecting the person under study in the video stream, implementing a digital processing process based on recognizing the clothes of the person under study and obtaining its color histogram, predicting localization and recognizing the person under study on all subsequent frames of the video stream using the developed methods of forecasting the direction of movement of this object. The output data of the proposed algorithm is used in the procedure of forming and displaying a general picture of the movement of a particular person within the entire video stream. The information and materials contained in this article may be of interest to specialists and experts who, in their work, pay special attention to data processing when analyzing fragments of the video stream.

Keywords: surveillance cameras, u2– net neural network, rembg library, pattern recognition, clothing recognition, delta E, tracing, direction prediction, object detection, tracking, mathematical statistics, predicted area, RGB pixels

Tests to determine the seismic stability of elements of pipeline systems, in particular pipeline fittings, are included in the list of those necessary to confirm the operability of the element. In this study, a stand was developed for testing to determine the seismic stability of butterfly check valves, which are a type of pipeline fittings. A finite element analysis was carried out, data on maximum deformations, stresses and displacements of structural elements were obtained, and the response of the installation table to seismic impact was calculated. The resulting displacement values of the table structure do not exceed the limit values specified by the technical requirements and do not lead to distortion of the structure or destruction of joints, which makes it possible to move from design to manufacturing and commissioning of the stand.

Keywords: vibration tests, seismic resistance test bench, pipeline, pipeline valves, swing back gate, mathematical modeling, finite element method, strength calculation, simulation modeling, stress-strain state

The effectiveness of the modified Fourier method associated with the use of orthogonal splines is shown when solving the problem of dynamics of a circular membrane with an elliptical hole. A posteriori estimates of the accuracy of the obtained approximate solutions complement the previously proven theoretical convergence of the algorithm and characterize the high accuracy of solutions to the problem of membrane dynamics with a curved boundary. The differences between the approximate solutions of the problem presented in the form of finite series decrease with an increase in the number of grid nodes used in calculations.

Keywords: Fourier method, orthogonal splines, finite series, dynamics of membrane, a posteriori estimation

A new approach to increasing the efficiency of extreme control systems by improving the method of searching for the extremum of the objective function is presented. In its multidimensional nonlinear optimization, instead of a traditional linear search along a once selected direction, an exploratory search is used, the direction of which at each step is adapted to the topology of the objective function. This makes it possible to localize an extremum as quickly as possible and significantly reduce the time of its determination. An algorithm for interpolation search for an extremum in the found interval is proposed. The objective function is modeled by a cubic spline segment based on information about its gradient vector at the boundary points of the interval, as a result of which the number of interpolation search steps is significantly reduced. The possibility of simplified nonsmooth interpolation using first-order splines in the extremum region is considered. The results of a numerical experiment confirm the high efficiency of the new method in solving various problems.

Keywords: extremal control systems, nonlinear optimization, acceleration of extremum search, quasi-Newton method, polynomial interpolation, non-smooth interpolation

The problem of reducing communication interaction in the chain between a natural language message and a BPMN model is considered. For this purpose, a number of authors have proposed a special notation called a mechanism. The procedure for constructing a mechanism using a given BPMN model is considered. The possibility of building a mechanism only for BPMN models that satisfy certain conditions is shown: the model must contain at least one artifact associated with one of the gateway actions; gateways should not contain more than two choices; the model should not end with a gateway; the model should not contain an AND-OR gateway. The procedure for constructing a BPMN model using a given mechanism is considered. The possibility of such a transformation is shown if the following conditions are met: the presence of a one-to-one correspondence of the elements and functions of the mechanism, the use of a single tool and a single strip in the mechanism. For models that do not satisfy these conditions, the use of the mechanism is problematic: it turns out to be either too cumbersome or too simple, which does not facilitate the simplification of communicative interaction. It is concluded that additional research is necessary in order to either improve the mechanism or use a different notation that does not have the disadvantages of the mechanism.

Keywords: BPMN, communication, business model, modeling, mechanisms, natural language, translation into BPMN

The development and implementation of decision support systems (DSS) based on modern methods of data processing, storage and analysis is an urgent task. As part of this work, an algorithm for optimizing the business processes of an IT company and a model for the functioning of a DSS were developed. The implementation of the proposed methods will improve the efficiency of IT companies.

Keywords: decision support system, business process, optimization, algorithm, IT company, data analysis, software, program code